GLM-5.1 vs LFM2.5-VL-450M
Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
GLM-5.1 leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-5.1
69
LFM2.5-VL-450M
35
Verified leaderboard positions: GLM-5.1 #16 · LFM2.5-VL-450M unranked
Pick GLM-5.1 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-5.1 | Δ | LFM2.5-VL-450M |
|---|---|---|---|
| Knowledge | 52.3 | ← 31.8 | 20.5 |
| Agentic | 65.4 | — | — |
| Coding | 60.2 | — | — |
| Math | 88.9 | — | — |
| Inst. Following | — | — | 61.2 |
Operational Comparison
GLM-5.1
LFM2.5-VL-450M
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
203K
128K
Quick Verdict
Pick GLM-5.1 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GLM-5.1 is clearly ahead on the provisional aggregate, 69 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in knowledge, where it averages 52.3 against 20.5.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. That is roughly Infinityx on output cost alone. GLM-5.1 is the reasoning model in the pair, while LFM2.5-VL-450M is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-5.1 gives you the larger context window at 203K, compared with 128K for LFM2.5-VL-450M.
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, GLM-5.1 or LFM2.5-VL-450M?
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 69 to 35.
Which is better for knowledge tasks, GLM-5.1 or LFM2.5-VL-450M?
GLM-5.1 has the edge for knowledge tasks in this comparison, averaging 52.3 versus 20.5. LFM2.5-VL-450M stays close enough that the answer can still flip depending on your workload.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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